Tuning Dynamics of the Acousto-Optical Tunable SOA Fiber Laser
Acoustically-induced fiber gratings (AIFGs) can be employed as the main device to achieve wide-range, time-linear, and fast wavelength tunability of various lasers, due to their fast spectral respo…
Highly Compact Twin 1×35 Wavelength Selective Switch
This paper demonstrates the design, assembly, optimisation and characterisation of a twin 1×35 wavelength selective switches (WSSs) based on a highly dispersive silicon grating prism (GRISM). The …
Cascaded Feedforward Neural Network Based Simultaneously Fast and Precise Mul…
We present and investigate a scheme to realize fast and precise multi-characteristics extraction and error estimation of Brillouin frequency shift (BFS) simultaneously based on a cascaded feedforwa…
Lithium Niobate Thin Film Polarization Beam Splitter Based on Asymmetric Dire…
Polarization devices on lithium niobate thin film (LNTF) are vital components for photonic integrated circuits (PICs) on the novel platform. Because both linear and nonlinear devices on the anisotr…
Ultra-Widely Tunable Acousto-Optic Add-Drop Filter Based on Acoustically-Indu…
An ultra-widely tunable acousto-optic add-drop filter is proposed and demonstrated based on the acoustically-induced polarization conversion of cladding-etched single-mode fiber, which covers wavel…
Optical Spectral Shaping Based on Reconfigurable Integrated Microring Resonat…
We demonstrate a multifunctional optical spectral shaper on a silicon photonic chip. The proposed structure is composed of a tunable microring resonator (MRR) and three tunable Sagnac loop mirrors …
Unmixing Convolutional Features for Crisp Edge Detection
This article presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge detectors is ma…
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Designing effective architectures is one of the key factors behind the success of deep neural networks. Existing deep architectures are either manually designed or automatically searched by some Ne…
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification
In conventional person re-identification (re-id), the images used for model training in the training probe set and training gallery set are all assumed to be instance-level samples that are manuall…
Study on Mechanical Cleavage Mechanism of GaAs via Anisotropic Stress Field a…
To satisfy the increasing requirements for high-quality cavity mirrors for semiconductor lasers, the influence of the anisotropic stress field generated by scratching GaAs on the quality of cleavag…
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